Proceedings of the 2015 International Conference on Industrial Technology and Management Science

Algorithm for Digital Speech Compression of K-L Transform

Authors
Xiaohang Li, Zhancai Jiang
Corresponding Author
Xiaohang Li
Available Online November 2015.
DOI
10.2991/itms-15.2015.238How to use a DOI?
Keywords
K-L transform; Covariance matrix; Orthogonal transform; Data compression
Abstract

To realize effectively compression of digital speech, a kind of speech framing compression algorithm based on K-L transform is put forward. Covariance matrix is constructed by speech frame vectors; orthogonal matrix corresponding to frame is got by decomposing eigenvalues of covariance matrix; the transform coefficient vector is got by orthogonal transform of frame vectors with orthogonal matrix, and it is truncated; then frame vectors are reconstructed by truncated transform coefficient vector; finally, the compression of frame vectors is realized by extracting. Simulation experiments show that the algorithm has high data compression rate, reconstituted speech is clear and natural, what’s more, good self-adaption denoising of speech is realized.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Industrial Technology and Management Science
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-123-0
ISSN
2352-538X
DOI
10.2991/itms-15.2015.238How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaohang Li
AU  - Zhancai Jiang
PY  - 2015/11
DA  - 2015/11
TI  - Algorithm for Digital Speech Compression of K-L Transform
BT  - Proceedings of the 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SP  - 985
EP  - 988
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.238
DO  - 10.2991/itms-15.2015.238
ID  - Li2015/11
ER  -